A team of researchers wants to use data from an injection molding process to study settings for machines that maximize one type of strength of a plastic part. The variables include controls on the machines, different plastic formulas, and the injection molding machines.
You can use this data to demonstrate Discover Key Predictors with TreeNet® Regression.
Machine | The machine that created the insulation: 1, 2, 3, or 4 |
Formula | Formula1 or Formula2 |
Injection Pressure | Injection pressure: 75 or 150 |
Injection Temperature | Injection temperature: 85 or 100 |
Cooling Temperature | Cooling temperature: 25 or 45 |
Melt Temperature Zone 1 | The temperature at zone 1 of the injection nozzle |
Melt Temperature Zone 2 | The temperature at zone 2 of the injection nozzle |
Melt Temperature Zone 3 | The temperature at zone 3 of the injection nozzle |
Melt Temperature Zone 4 | The temperature at zone 4 of the injection nozzle |
Melt Temperature Zone 5 | The temperature at zone 5 of the injection nozzle |
Mold Temperature | The temperature setting for inside the mold during the injection process |
Change Position | The distance of the screw when the process changes from flow control to pressure control |
Screw cushion | The amount of material in the barrel in front of the screw |
Screw Rotation Speed | How fast the screw rotates during the process |
Hold Pressure | The hold pressure setting on the injection machine |
Back Pressure | The back pressure on the screw |
Drying Temperature | The temperature inside the dryer for the part |
Drying Time | The time the parts are inside the dryer |
Plastic Temperature | The temperature of the plastic entering the injection process |
Plastic Flow Rate | The flow rate of the plastic during the injection process |
Temperature at Measurement | Temperature at the time of the response measurements |
Strength | The strength of the plastic part |